JP2019174525A - Learning support device, learning support method, and program - Google Patents

Abstract

To provide a learning support device capable of presenting appropriate next learning contents on the basis of a determination of a user's pronunciation.SOLUTION: A CPU causes a display unit 17 to display text data of a determination object (question) English example is1 as a question screen G3 on the basis of learning content data ((A) pronunciation determination app: English example) 12b1, and to reproduce voice data of model pronunciation corresponding to the English example is1. The CPU records and analyzes voice data pronounced by the user, and causes the display unit 17 to display a determination result screen G6 of a determination result determined by marking a plurality of determination items (speech reading time/getting out level from Katakana English/consonant strength/sharpness/smoothness). On the determination result screen 6, for example, if the user touches a determination item with low score, the CPU executes a training process of learning contents suitable for improving the user's pronunciation of the touched determination item.SELECTED DRAWING: Figure 4

Description

  The present invention relates to a learning support device, a learning support method, and a program.

  Various learning devices for learning languages such as English have been put into practical use.

  In general, in a conventional learning support apparatus, for example, when a user learns a conversation, an example sentence of a conversation between the user and himself / herself is displayed or output as a voice. The user learns by repeating the display of the example sentence (vocabulary), listening to the voice (listening), and actually pronounced (speaking).

  Further, in the conventional learning support device, by recording the voice actually pronounced by the user in accordance with the display of the example sentence, by comparing the recorded user's pronunciation with the native pronunciation corresponding to the example sentence, Some of them determine the user's pronunciation and output the determination result by displaying a score or the like.

Japanese Patent Laid-Open No. 11-327419

  A conventional learning support apparatus can determine a user's pronunciation and output a determination result based on a score or the like. However, in response to the determination result of the user's pronunciation, the user himself / herself determines the content to be learned next and selects the next learning content.

  The present invention has been made in view of such a problem, and provides a learning support device, a learning support method, and a program that can present appropriate next learning content based on a determination result of a user's pronunciation. The purpose is to do.

  The learning support apparatus according to the present invention inputs sound data of pronunciation corresponding to the first determination target, determines the pronunciation for each of a plurality of types of determination items, and the first determination result for each of the plurality of types of determination items. When any of the above is in a specific state, a control unit is provided that executes a process for improving the pronunciation of the determination item that is in the specific state in the first determination result.

The block diagram which shows the structure of the electronic circuit of the learning assistance apparatus 10 which concerns on embodiment of this invention. The flowchart which shows the learning assistance process according to the learning assistance process program 12a of the said learning assistance apparatus 10. FIG. The flowchart which shows the determination result display process in the learning assistance process of the said learning assistance apparatus. The figure which shows the display operation | movement corresponding to user operation according to the learning assistance process of the said learning assistance apparatus 10, and audio | voice input / output operation (the 1). The figure which shows the display operation | movement corresponding to user operation according to the learning assistance process of the said learning assistance apparatus 10, and audio | voice input / output operation (the 2). The figure which shows the display operation | movement corresponding to user operation according to the learning assistance process of the said learning assistance apparatus 10, and audio | voice input / output operation (the 3). The figure which shows the display operation | movement corresponding to user operation according to the learning assistance process of the said learning assistance apparatus 10, and audio | voice input / output operation (the 4). The figure which shows the display operation | movement corresponding to user operation according to the learning assistance process of the said learning assistance apparatus 10, and audio | voice input / output operation (the 5). The figure which shows the display operation | movement corresponding to user operation according to the learning assistance process of the said learning assistance apparatus 10, and audio | voice input / output operation (the 6).

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram showing a configuration of an electronic circuit of a learning support apparatus 10 according to an embodiment of the present invention.

  The electronic circuit of the learning support apparatus 10 includes a CPU 11 that is a computer. The CPU 11 reads the learning support processing program 12a stored in the storage unit 12 such as a flash ROM in advance or the recording medium reading unit 14 from the external recording medium 13 such as a memory card and stores the learning in the storage unit 12. The operation of each part of the circuit is controlled according to the support processing program 12a or the learning support processing program 12a downloaded from the Web server (here, the program server) 20 on the communication network N via the communication unit 15 and stored in the storage unit 12. To do.

  The CPU 11 is connected to the storage unit 12, the recording medium reading unit 14, and the communication unit 15 through a data and control bus, as well as a key input unit 16, a display unit 17 with a touch panel, an audio input unit 18, and an audio output. Unit 19 is connected.

  The voice input unit 18 includes a microphone for inputting voice of a user or the like.

  The audio output unit 19 includes a speaker that outputs audio based on audio data stored in the storage unit 12 or recorded.

  The storage unit 12 includes the learning support processing program 12a, a plurality of learning content data ((A) pronunciation determination application program: English example sentence) 12b1, ((B) pronunciation determination application program: English word) 12b2, ((C) English conversation application program: conversation example sentence) 12b3, (D) 12b4, ..., pronunciation determination result data 12c, display data 12d, and the like are stored. Hereinafter, “application program” is referred to as “application”.

  The learning support processing program 12 a is stored in the storage unit 12, a system program that controls the overall operation of the learning support device 10, a program for communication connection with an external electronic device via the communication unit 15, and the like. Each of the learning contents data (A) 12 b 1, (B) 12 b 2, (C) 12 b 3, (D) 12 b 4,... A program for executing the corresponding learning function and the learning content data ((A) pronunciation determination app: English example sentence) 12b1 are used to selectively use each learning content based on the determination result of the user's pronunciation. A program for executing a learning function for presenting appropriate next learning content is included.

  The learning content data (A) 12b1, (B) 12b2, (C) 12b3, (D) 12b4,... Are data such as voice data that can be recognized by hearing, text data, and image data. Data that can be recognized visually.

  The learning content data ((A) pronunciation determination application: English example sentence) 12b1 displays text data of one English example sentence selected from a plurality of English example sentences, and an example corresponding to the selected English example sentence. Outputs the sound data of the pronunciation. Then, the voice data sounded by the user is recorded, and a plurality of types of judgment items (reading time / deciphering English level / consonant strength / sharpness / smoothness) are targeted for the recorded voice data (user's pronunciation). It has a function to determine the overall evaluation and the score and display the determination result. The practice of listening and listening while looking at English example sentences is suitable for practice of reading aloud (appropriate speed of reading), for example.

  The learning content data ((B) pronunciation determination application: English word) 12b2 displays a list of text data of a plurality of English words including vowels or a plurality of English words including consonants, and the plurality of English words displayed as a list are displayed. The text data of one English word selected according to the user operation from among them is displayed, and the voice data of the model pronunciation corresponding to the selected English word is output. And it has the function which records the audio | voice data sounded by the user, determines the recorded audio | voice data (user's pronunciation) by a score, and displays the determination result. Practice of pronunciation of English words including vowels is suitable, for example, for practicing to escape from Katakana English, and practice of pronunciation of English words including consonants is, for example, suitable for practice of consonant strength (pronunciation of pronunciation).

  The learning content data ((C) English conversation app: conversation example sentence) 12b3 sequentially displays text data of a set of conversation example sentences selected in response to a user operation from a plurality of sets of conversation example sentences. The voice data of the model pronunciation corresponding to the conversation example sentence and the voice data of the Japanese translation are sequentially output. Repetitive practice of listening while looking at conversation example sentences is suitable for practicing, for example, the sharpness of the conversation (sound strength / difference in pitch) and smoothness (appropriate pronunciation of words).

  The pronunciation determination result data 12c is determination result data for the user's pronunciation obtained based on the learning content data ((A) pronunciation determination application: English example sentence) 12b1, and includes a plurality of determination items (speech reading time / deciphering katakana). English score / consonant strength / sharpness / smoothness), comprehensive evaluation score data, and balance chart data corresponding to the plurality of judgment item score data, at least the previous and current It is included as judgment result data for two times.

  The display data 12d is image data in, for example, bitmap format that is displayed on the display unit 17 by the CPU 11 in accordance with the operation of the learning support apparatus 10.

  In the learning support device 10 configured as described above, the CPU 11 controls the operation of each part of the circuit in accordance with the instructions described in the learning support processing program 12a, and the software and hardware operate in cooperation. Thus, a learning support function corresponding to each learning content data (A) 12b1, (B) 12b2, (C) 12b3, (D) 12b4,. To do.

  Next, the operation of the learning support apparatus 10 having the above configuration will be described.

  FIG. 2 is a flowchart showing a learning support process according to the learning support processing program 12a of the learning support apparatus 10.

  FIG. 3 is a flowchart showing a determination result display process in the learning support process of the learning support apparatus 10.

  4 to 9 are diagrams showing a display operation and a voice input / output operation (No. 1 to No. 6) corresponding to a user operation in accordance with the learning support process of the learning support apparatus 10.

  When the learning support apparatus 10 is turned on, the CPU 11 lists contents corresponding to the respective learning content data (A) 12b1, (B) 12b2, (C) 12b3, (D) 12b4,. A list screen (not shown) is displayed on the display unit 17.

  When the icon corresponding to the learning content data ((A) pronunciation determination app: English example sentence) 12b1 is touched on the content list screen displayed on the display unit 17, the CPU 11 causes the learning content data ((A)) to be touched. Pronunciation determination application: English example sentence) 12b1 is activated, and the pronunciation determination application (English example sentence) indicates determination items [determine by word] B11 and [determination by sentence] B12 as shown in FIG. The pronunciation determination initial screen G1 is displayed on the display unit 17 (step S1).

  When the determination item [determined by text] B12 is touched on the pronunciation determination initial screen G1, the CPU 11 randomly designates an English example sentence to be determined (question) as shown in FIG. 4B. [Random] icon B21, [By word count] icon B22, [Vowel] for selecting one of a mode to specify, a mode to specify by the number of words, a mode to specify from vowels, and a mode to specify from consonants An English example sentence mode selection screen G2 in which icons B23 and [consonant] icons B24 are arranged is displayed on the display unit 17 (step S1).

  In the English example sentence mode selection screen G2, for example, when the [random] icon B21 is touch-operated P, the CPU 11 performs learning content data ((A) pronunciation determination application: English example sentence as shown in FIG. 4C). ) Randomly select an English example sentence to be judged (question) from a plurality of English example sentences included in 12b1, and the pronunciation request message “pronounced after example” is sent to the selected English example sentence “It has been so hot recently!” M31 and recording start message “Please speak after switching to the recording screen.” The question screen G3 with M32 added is displayed on the display unit 17. In addition to the display of the question screen G3, the CPU 11 reproduces, from the voice output unit 19, model voice data corresponding to the displayed English example sentence “It has been so hot recently!” Is1 (step S1).

  Thereafter, when the reproduction of the voice data of the above-mentioned exemplary pronunciation is finished, as shown in FIG. 4D, the CPU 11 records the message “Recording” M41 and the end operation message “Done key when the sound is finished”, as shown in FIG. "Please press the button" The recording screen G4 with M42 displayed is displayed on the display unit 17, and the voice data of the user's pronunciation input from the voice input unit 18 is recorded (step S1).

  Thereafter, when the user operates the [Enter] key of the key input unit 16 or when a predetermined time (for example, 15 seconds) elapses from the start of recording, the CPU 11 analyzes as shown in FIG. A mid-analysis screen G5, in which the middle message “analyzing ...” M5 is displayed, is displayed on the display unit 17, and the voice data of the recorded user's pronunciation is recognized and analyzed. Katakana English level / consonant strength / sharpness / smoothness) and their overall evaluation are determined by scores. Then, the determined score data is stored in the storage unit 12 as the pronunciation determination result data 12c (step S1).

  Then, as shown in FIG. 4 (F), the CPU 11 analyzes the user's pronunciation voice data corresponding to the English example sentence “It has been so hot recently!” A judgment result screen G6 in which each score data and score data of its comprehensive evaluation is displayed on the display unit 17 (step S2 (S21)) )).

  The determination result screen G6 also displays balance chart BC data corresponding to the score data of the five types of determination items. The balance chart BC indicates that the current determination result for the same English example sentence isn is red. The balance chart BCr on the line R is displayed, and the previous determination result is displayed on the balance chart BCb on the blue line B (see FIG. 5E). In the determination result screen G6, there are determination items with a low score, for example, less than 80 points (see FIG. 4 (F)), and determination items with a score higher than the previous determination result (see FIG. 5 (E)). The identification display HR is enclosed by a red frame (step S21).

  Therefore, the user can not only confirm at a glance the balance of pronunciation among the respective judgment items according to the current pronunciation judgment by the balance chart BCr on the judgment result screen G6, but also the pronunciation is not good by the identification display HR of the red frame. It is also possible to easily know the judgment items that have been pronounced and the judgment items whose pronunciation is better than the previous pronunciation judgment.

  Further, by comparing the balance chart BCb of the previous pronunciation determination with the balance chart BCr of the current pronunciation determination, it is possible to confirm at a glance the change in the balance of pronunciation between the previous and current determination items.

  FIG. 4F shows a case where there is no previous determination result and the score of the determination item “speech reading time” is low. In FIG. 5E, the score of the determination item “speech reading time” is lower than the previous determination result. The case where it goes up is shown.

  If there is a determination item (see FIGS. 5F and 5G) whose score is lower than the previous determination result, the determination item is identified by being surrounded by a blue dotted frame on the determination result screen G6. The display HB is displayed and a warning message “There are items whose scores have been lowered from the previous time. Let's practice again with caution!” M6 is displayed (step S22 (Yes) → S23).

  Accordingly, when there is a determination item whose pronunciation is worse than the previous pronunciation determination in the current pronunciation determination, the user can easily determine the deteriorated determination item by using the blue frame identification display HB and the warning message M6. I can know.

  When the [re-challenge] icon B61 displayed on the determination result screen G6 is touched, the pronunciation determination process with the same English example sentence isn is performed again, and the [next sentence] icon B62 is touched. When operated, the next English example sentence isn corresponding to the mode selected according to the English example sentence mode selection screen G2 is designated, and the pronunciation determination process for the next English example sentence isn is executed. When the [END] icon B63 is touched, the series of sound generation determination processes is ended.

  Hereinafter, the description of the operation of the learning support device 10 according to the present embodiment is based on the learning content appropriate for the user based on the result of pronunciation determination according to the learning content data ((A) pronunciation determination app: English example sentence) 12b1. When you practice reading aloud (see FIG. 5), practice katakana English level (see FIG. 6), practice consonant strength (see FIG. 7), and sharpen the conversation / In the case of practicing smoothness (see FIG. 9), the explanation will be divided.

(Practice for skill improvement after pronunciation determination (1): “Reading time”)
As shown in FIGS. 4A to 4F, in the determination result screen G6 of the user's pronunciation corresponding to the English example sentence “It has been so hot recently!” In a state where the determination item [speech reading time] with a low is displayed and identified HR (steps S1, S2 (S21)), the user practices, for example, a reading time with a low score (appropriate speed of reading). In order to do this, the determination item [speech reading time] on the identification display HR is touch-operated (step S3 [speech reading time]). When the [END] icon B63 on the determination result screen G6 is touched, the CPU 11 ends the series of learning support processes. In addition, when an operation other than the above is performed on the determination result screen G6, the CPU 11 executes other processing.

  When the user touches the determination item [speech reading time] displayed on the identification display HR, the CPU 11 selects the learning content data (A) 12b1, (B) 12b2,. Then, another English example sentence (here, “It can't rain all the time.”) Is2 having the same vocabulary number as the English example sentence is1 to be judged (question) is extracted and stored in the storage unit 12 Text data and voice data of an exemplary pronunciation are read (step S4).

  Then, as shown in FIG. 5A, the text data “It can't rain all the time.” Is2 of the extracted English example sentence is displayed on the display unit 17 as a reading time practice screen G7, and the English example sentence is displayed. The voice data of the model pronunciation corresponding to is2 is output from the voice output unit 19, and the user is encouraged to practice repeatedly listening to the model pronunciation of the English example sentence is2 and uttering it (step S5).

  Here, when the “play again” icon B71 written on the reading aloud time practice screen G7 is touch-operated by the user (step S6 “again”), the CPU 11 reads the English example sentence is2 based on the reading aloud time practice screen G7. The display and the output of the model pronunciation are repeatedly executed, and the user is made to repeatedly practice the reading time of the English example sentence is2 (appropriate speed of reading) (step S5).

  Thereafter, when the [determination] icon B72 written on the reading aloud time practice screen G7 is touched by the user (step S6 “determination”), the CPU 11 sets the extracted English example sentence is2 as an English sentence to be determined. Designation is performed (step T1), and the pronunciation determination process with the English sentence as a determination target is executed again (step S7).

  That is, the CPU 11 is shown in FIGS. 5B to 5E similarly to the pronunciation determination process in the English example sentence “It has been so hot recently!” Is1 shown in FIGS. Thus, the display of the question screen G3 corresponding to the English example sentence “It can't rain all the time.” Is2 and the output of the voice of the model pronunciation, the display of the recording screen G4 and the recording and analysis of the voice of the user's pronunciation The display of the middle screen G5 and the determination of the pronunciation of the recorded user are executed in order (step S7). Then, a determination result screen G6 determined by analyzing the user's pronunciation is displayed on the display unit 17 (step S8).

  In the determination result screen G6 shown in FIG. 5E, the previous determination result is displayed as a balance chart BCb of a blue line B, and the current determination result is displayed as a balance chart BCr of a red line R. The determination item [speech reading time] with an increased score is identified and displayed HR with a red frame (step S21).

  Here, as shown in FIGS. 5F and 5G, when there is a determination item whose score is lower than the previous determination result (step S22 (Yes)), the corresponding determination item [sharp] is displayed in a blue frame. The identification message HB is enclosed, and a warning message “Some items have been scored lower than the previous time. Let's practice again carefully!” M6 is displayed (step S23).

  In this case, the user can easily know that the pronunciation determination of the current time is better for the pronunciation [speech reading time] than the previous pronunciation determination, but the sharpness is worse for the [sounding]. it can.

  Thereafter, the CPU 11 executes the process of step S3 again. That is, as shown in FIGS. 5E and 5F, the user's pronunciation determination result screen G6 corresponding to the English example sentence “It can't rain all the time.” Is2 of the determination target (question) this time. In the state where the determination item [smooth] with a low score is identified and displayed HR, for example, in order to practice the sharpness (sound intensity / height difference) of the score, the user is presented with the identification display HB. Can be touch-operated (Step S3 [Sharpness]).

  That is, as a result of the pronunciation determination process for the English example sentence “It can't rain all the time.” Is2, as shown in FIGS. 5E and 5F, the determination result corresponding to the previous step S3. It can also be confirmed that although the pronunciation skill is improved for the item [speech reading time] touch-operated on the screen G6, the pronunciation skill is reduced for a different judgment item [brightness]. Therefore, in step S3 executed by the CPU 11 for the second time and thereafter, the user can continue the practice for improving the pronunciation skill of the “smoothness” by touching the determination item “smoothness”.

(Practice for skill improvement after pronunciation determination (2): “De Katakana English Level”)
As shown in FIGS. 4A to 4E, when the user's pronunciation determination corresponding to the English example sentence “It has been so hot recently!” As shown in FIG. 6 (A), when a determination item [Deciphered Katakana English] with a low score is identified and displayed HR on the determination result screen G6 displayed on the display unit 17 (steps S1, S2 (S21)) )), For example, the user performs a touch operation on the determination item [deleted katakana English level] displayed on the identification display HR in order to practice the lower katakana English level (pronunciation of English words including vowels). (Step S3 [De Katakana English Level]).

  Then, the CPU 11 activates the learning content data ((B) pronunciation determination application: English words) 12b2 stored in the storage unit 12, and the pronunciation determination application (English words) causes the learning content data (b) to be as shown in FIG. In addition, among the English example sentences of the judgment subject (question) this time, another English word including the vowel contained in the English word that should be accented is used as the English word to be repeated, regardless of vowel or consonant. An English array in which a [random] icon B81, a [vowel] icon B82, and a [consonant] icon B83 for selecting one of a mode designated at random, a mode designated from a vowel, and a mode designated from a consonant are arranged. The word mode selection screen G8 is displayed on the display unit 17 (step S10).

  In this case, although not shown in the figure, the CPU 11 displays the [random] icon B81 and the [consonant] icon B83 out of the [random] icon B81, the [vowel] icon B82, and the [consonant] icon B83. The touch operation is disabled, and only the touch operation on the [vowel] icon B82 is enabled. Thereby, it can be specialized in the practice for skill improvement about the judgment item [dekatakana English level].

  In the English word mode selection screen G8, the [vowel] icon B82 is touch-operated in order to practice the removal of katakana English, that is, the pronunciation of English words including vowels. When such a vowel is designated, the CPU 11, as shown in FIG. 6C, displays a mouth lesson screen for explaining the mouth shape of the pronunciation of the vowel designated by the user (here “a”) with the illustrated message M 9. G9 is displayed on the display unit 17 (step S10).

  When the [Proceed to pronunciation check] icon B9 displayed on the mouth lesson screen G9 is touched by the user P, the CPU 11 displays the vowels to be practiced in katakana English as shown in FIG. 6 (D). An English word list screen (vowel) G10 that lists a plurality of English words is displayed on the display unit 17 (step S10).

  In the English word list screen (vowel) G10, when an arbitrary English word (in this case, “opposite”) including a vowel is designated by a touch operation P, the CPU 11 designates the designated English word “opposite” w1. And the text data and the voice data of the model pronunciation are read (step S10).

  Then, as shown in FIGS. 6E and 6F, the display of the question screen G3 corresponding to the extracted English word text data “opposite” w1, the reproduction of the sound of the exemplary pronunciation, the display of the recording screen G4, Recording of the pronunciation of the user's pronunciation and determination of the pronunciation of the recorded user are executed in order (step S11). Then, as shown in FIG. 6 (G), the English word list screen (vowel) G10 is displayed again, and the score of the user's pronunciation determined in association with the English word “opposite” w1 to be practiced this time ( Here, the full score “100 points”) is displayed (step S11).

  Thereafter, for all English words including the vowels displayed on the English word list screen (vowel) G10, the user's pronunciation practice and determination are performed in the same manner as shown in FIGS. This can be repeated (step S11).

  Then, for all English words including the vowels displayed on the English word list screen (vowel) G10, it is determined whether or not the score determined by the user's pronunciation is “100 points” (step T2). As shown in FIG. 6 (H), for all English words, when the score of the user's pronunciation is determined to be “100”, the CPU 11 displays a [re-challenge] icon B61 in the English word list screen (vowel) G10. Is displayed (step T2: Yes → T3).

  After this, when the [re-challenge] icon B61 displayed on the English word list screen (vowel) G10 is touch-operated by the user (step T4: Yes), the CPU 11 determines the previously determined English example sentence “It has been so "hot recently!" is1 is designated as a determination target English sentence (step T5), and the pronunciation determination process for the English sentence as a determination target is executed again (step S7). Since the subsequent processing is the same as described above, description thereof is omitted.

  From the determination result screen G6 in the re-executed pronunciation determination process, the user can confirm the result of the practice of the katakana English level. In other words, in the determination result screen G6 shown in FIG. 8D, the user confirms that the score of the determination item [Deciphered Katakana English] is increased by the identification display HR and the previous and current balance charts BCb and BCr. it can.

  As a result of executing the pronunciation determination process again, for example, although the pronunciation skill has improved for the item [deleted katakana English degree] touch-operated on the determination result screen G6 corresponding to the previous step S3, a different determination item ([speech reading time] ]] [Smoothness] [Consonant strength] [Smoothness]) If the pronunciation skill decreases, this can also be confirmed. Therefore, in step S3 executed by the CPU 11 for the second and subsequent times, if the user touches any determination item whose pronunciation skill has decreased, the user continues to practice for improving the pronunciation skill for the determination item. You can continue.

  In step T5, as in step S4, the CPU 11 selects the current determination target (question) from the learning content data (A) 12b1, (B) 12b2,. Another English example sentence (here “It can't rain all the time.”) Is2 may be extracted and specified as an English sentence to be determined.

(Practice for skill improvement after pronunciation determination (3): “Consonant strength”)
As shown in FIGS. 4A to 4E, when the user's pronunciation determination corresponding to the English example sentence “It has been so hot recently!” In the determination result screen G6 displayed on the unit 17, for example, in a state where the determination item [consonant intensity] having a low score is identified and displayed HR (steps S1, S2 (S21)), the user has a low score. In order to practice the strength of consonants (pronunciation of pronunciation), the determination item [consonant strength] on the identification display HR is touch-operated (step S3 [consonant strength]).

  Then, the CPU 11 activates the learning content data ((B) pronunciation determination application: English words) 12b2 stored in the storage unit 12 in the same manner as in the case of the practice of the katakana English level, and the pronunciation determination application ( As shown in FIG. 7A, the English word mode selection screen G8 is displayed on the display unit 17 (English word) (step S10).

  In this case, although not shown, the CPU 11 displays the [random] icon B81 and the [vowel] icon B82 out of the [random] icon B81, the [vowel] icon B82, and the [consonant] icon B83. The touch operation is disabled and only the touch operation on the [consonant] icon B83 is enabled. Thereby, it can be made to specialize in practice for skill improvement about judgment item [consonant strength].

  In the English word mode selection screen G8, in order to practice the strength of consonants (pronunciation of pronunciation), a [consonant] icon B83 is touch-operated to designate any consonant in the consonant list Lc. Then, as shown in FIG. 7B, the CPU 11 displays a mouth shape lesson screen G9 that explains the mouth shape of the pronunciation of the consonant (here, “h”) designated by the user with a message M9 with an illustration. (Step S10).

  When the user performs a touch operation P on the “Proceed with pronunciation check” icon B9 displayed on the mouth lesson screen G9, the CPU 11 performs a consonant to be subjected to consonant intensity practice as shown in FIG. An English word list screen (consonant) G10 that lists a plurality of English words including, is displayed on the display unit 17 (step S10).

  In the English word list screen (consonant) G10, when an arbitrary English word ("hard" in this case) including a consonant is designated by a touch operation P, the CPU 11 designates the designated English word "hard" w2. And the text data and the voice data of the model pronunciation are read (step S10).

  Then, as in the case of the English word “opposite” w1 containing vowels shown in FIGS. 6E and 6F, as shown in FIGS. 7D and 7E, the text data “ The display of the question screen G3 corresponding to “hard” w2 and the reproduction of the voice of the exemplary pronunciation, the display of the recording screen G4 and the recording of the voice of the user's pronunciation, and the determination of the recorded user's pronunciation are executed in order (step). S11). Then, as shown in FIG. 7F, the English word list screen (consonant) G10 is displayed again, and the score (in which the user's pronunciation is determined in association with the English word “hard” w2 to be practiced this time) Here, the full score “100 points”) is displayed (step S11).

  Thereafter, for all English words including consonants displayed on the English word list screen (consonant) G10, the user's pronunciation practice and determination are performed in the same manner as shown in FIGS. This can be repeated (step S11).

  Then, for all English words including consonants displayed on the English word list screen (vowel) G10, it is determined whether or not the score determined by the user's pronunciation is “100 points” (step T2). For all English words, as shown in FIG. 7G, when the score for determining the user's pronunciation reaches “100”, the CPU 11 displays a “re-challenge” icon B61 in the English word list screen (consonant) G10. Is displayed (step T2: Yes). Since the subsequent processing is the same as described above, description thereof is omitted.

  As a result of executing the pronunciation determination process again, for example, although the pronunciation skill has improved for the item [consonant strength] touched on the determination result screen G6 corresponding to the previous step S3, ]] [Smoothness] [De-Katakana English Level] [Smoothness]) If the pronunciation skills decline, this can also be confirmed. Therefore, in step S3 executed by the CPU 11 for the second and subsequent times, if the user touches any determination item whose pronunciation skill has decreased, the user continues to practice for improving the pronunciation skill for the determination item. You can continue.

(Practice for skill improvement after pronunciation determination (4): “Conversation sharpness / smoothness”)
As shown in FIGS. 4A to 4E, when the user's pronunciation determination corresponding to the English example sentence “It has been so hot recently!” As shown in FIG. 9 (A), when the determination item [Brightness] with a low score is identified and displayed HR on the determination result screen G6 displayed on the display unit 17 (steps S1, S2 (S21)), In order to practice the sharpness of the conversation with a low score (sound intensity / height difference), the user performs a touch operation on the determination item [brightness] on the identification display HR (step S3 [brightness]).

  Then, the CPU 11 activates the learning content data ((C) English conversation app: conversation example sentence) 12b3 stored in the storage unit 12 (step S12), and the English conversation application (conversation example sentence) causes the learning content data to be stored in FIG. 9B. As shown, a [listening] playlist screen G11 listing the conversation display names of the items (phrases) included in the playlist corresponding to the English conversation application (conversation example sentence) is displayed on the display unit 17 (step S13). .

  When the [play] icon Q is touched on the [listening] playlist screen G11, the CPU 11 is selected by the English conversation application (conversation example sentence) according to a user operation or automatically selected and identified. The text data of the conversation example sentence corresponding to the displayed item and the voice data of the model pronunciation (English voice and Japanese translation voice) are read. Then, each time the text data cs1, cs2,... Of the read conversation example sentences are sequentially displayed on the conversation example sentence output screen G12 as shown in FIG. 9C, the model corresponding to the text data cs1, cs2,. The voice output sound data and the Japanese translation voice data are reproduced by the voice output unit 19 and viewed by the user (step S14). The conversation example sentence output screen G12 shown in FIG. 9C shows a case where the item [Chapter2 Day8 3-word important phrase] in the [Listening] playlist screen G11 is selected.

  The voice output unit 19 reproduces the voice data of the exemplary pronunciation and the Japanese translation voice data for a predetermined number of times, and determines whether or not the user has viewed the voice data (step T6). After allowing the user to view the number of times specified separately, the CPU 11 displays a [re-challenge] icon B61 in the conversation example sentence output screen G12 as shown in FIG. 9C (step T6: Yes → T3). . Since the subsequent processing is the same as described above, description thereof is omitted.

  From the determination result screen G6 in the re-executed pronunciation determination process, the user can confirm the result of the practice of sharpness and smoothness. That is, although not shown, in the determination result screen G6 similar to that in FIG. 8D, the user can determine the determination item [Smooth] or [Smooth] by the identification display HR and the previous and current balance charts BCb and BCr. It can be confirmed that each of the points has increased.

  As a result of executing the pronunciation determination process again, for example, although the pronunciation skill has improved for the item [smooth] or [smoothness] touched on the determination result screen G6 corresponding to the previous step S3, the determination item ([ If the pronunciation skill is reduced for either "Reading time", "Deciphered katakana English level", "Consonant strength", "Smoothness" or "Smoothness"), this can also be confirmed. Therefore, in step S3 executed by the CPU 11 for the second and subsequent times, if the user touches any determination item whose pronunciation skill has decreased, the user continues to practice for improving the pronunciation skill for the determination item. You can continue.

  According to the learning support device 10 having the above-described configuration, the CPU 11 uses the text data of the English example sentence is1 as the determination target (question) as the question screen G3 based on the learning content data ((A) pronunciation determination application: English example sentence) 12b1. The voice data of the model pronunciation corresponding to the English example sentence is1 is displayed on the display unit 17 and reproduced by the voice output unit 19. Then, the voice data produced by the user is recorded and analyzed, and the determination result of the determination result is determined by assigning a score to a plurality of determination items (reading time / deciphering katakana English level / consonant strength / sharpness / smoothness). The screen G6 is displayed on the display unit 17.

  In the determination result screen G6, for example, when a determination item with a low score is touched by the user, a learning content practice process suitable for improving the user's pronunciation for the touched determination item is executed.

  In other words, when the determination item (speech reading time) is touched, the CPU 11 selects another English example sentence is2 having the same vocabulary number as the English example is1 as the determination target (question) as each learning content data (A) 12b1, (B ) 12b2,..., And the display of the text data corresponding to the extracted English example sentence is2, the reproduction of the voice data of the exemplary pronunciation, and the determination of the pronunciation that the user refutes on the reading time practice screen G7 It is executed in an iterative manner according to the touch operation of the [Listen again] icon B71 and [Determination] icon B72, and allows the user to practice appropriate reading speed.

  When the determination item (deciphered katakana English level) or (consonant strength) is touched, the CPU 11 activates the learning content data ((B) pronunciation determination app: English word) 12b2 to generate a vowel or consonant. Extracting an English word w1 (or w2) selected by the user from a plurality of English words wn including, displaying text data corresponding to the extracted English word wn, and reproducing voice data of an exemplary pronunciation; The determination of the pronunciation of the user's rebellion is performed in a repeatable manner by selecting the plurality of English words wn... To allow the user to practice the departure from katakana English or the clarity of pronunciation.

  When the determination item (sharpness) or (smoothness) is touched, the CPU 11 activates the learning content data ((C) English conversation app: conversation example sentence) 12b3 and automatically or from the plurality of conversation example sentences. The display of the text data corresponding to the conversation example sentences cs1, cs2,... Extracted by arbitrary selection, the reproduction of the voice data (English and Japanese translations) of the exemplary pronunciation, and the determination of the rebellious pronunciation of the user, It is executed repeatedly by selecting a plurality of conversation example sentences, and allows the user to practice pronunciation sharpness (sound intensity / difference in pitch) and smoothness (appropriate pronunciation between words).

  Therefore, based on the determination result of the user's pronunciation, it is possible to present the user with appropriate next learning contents to practice, and consistent pronunciation learning according to the pronunciation level can be performed for each user. .

  Further, according to the learning support device 10 having the above-described configuration, the CPU 11 displays [Re-challenge] on the sound determination determination result screen (G6, G10, G12) in the course of the practice process executed based on the user's sound determination result. ] Icon B61, and when the [re-challenge] icon B61 is touched, the English example is1 of the determination target (question) based on the learning content data ((A) pronunciation determination app: English example sentence) 12b1 Re-execute the corresponding user's pronunciation determination.

  Thereby, the user confirms the improvement degree of the user's own pronunciation from the score displayed on the determination result screen (G6, G10, G12) of the pronunciation determination during the practice process, and the [re-challenge] icon By touching B61, pronunciation determination corresponding to the determination target English example is1 can be performed again.

  Further, according to the learning support device 10 having the above-described configuration, when there is a determination item whose score has increased from the previous pronunciation determination on the determination result screen G6, the CPU 11 identifies the determination item whose score has increased by a red frame. Display HR. On the other hand, when there is a determination item whose score is lower than the previous pronunciation determination, the determination item whose score is lower is identified and displayed HB with a blue frame and a warning message M6 is displayed.

  As a result, the user easily finds and touches a determination item whose pronunciation determination score has decreased, and continues to practice learning content suitable for improving the user's pronunciation for the determination item whose score has decreased. be able to.

  Each method of processing by the learning support apparatus 10 described in each of the embodiments, that is, each method such as the learning support process shown in the flowchart of FIG. 2 and the determination result display process shown in the flowchart of FIG. Can be stored in a recording medium such as a memory card (ROM card, RAM card, etc.), magnetic disk (floppy (registered trademark) disk, hard disk, etc.), optical disk (CD-ROM, DVD, etc.), semiconductor memory, etc. Can be distributed.

  Further, the program data for realizing each of the above methods can be transmitted on the communication network N in the form of a program code, and the program data is transmitted to the computer of the electronic device connected to the communication network N as a communication unit. The learning support function described above can also be realized by taking in

  The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the invention when it is practiced. Further, each of the embodiments includes inventions at various stages, and various inventions can be extracted by appropriately combining a plurality of disclosed constituent elements. For example, even if some constituent elements are deleted from all the constituent elements shown in each embodiment or some constituent elements are combined in different forms, the problems described in the column of the problem to be solved by the invention If the effects described in the column “Effects of the Invention” can be obtained, a configuration in which these constituent requirements are deleted or combined can be extracted as an invention.

  The invention described in the scope of the claims of the present application will be appended below.

[1]
Input sound data of pronunciation corresponding to the first determination target, determine the pronunciation for each of a plurality of types of determination items,
When any one of the first determination results for each of the plurality of types of determination items is in a specific state, a process for improving the pronunciation of the determination items that are in the specific state in the first determination result Execute,
A learning support apparatus including a control unit.

[2]
The controller is
After executing the process for improving the pronunciation of the determination item that is in a specific state in the first determination result, the pronunciation corresponding to the second determination target that is the same as or different from the first determination target The sound data is input, and the pronunciation is determined again for each of the plurality of types of determination items.
The learning support apparatus according to [1].

[3]
The controller is
As a result of performing the determination again, if any of the second determination results for each of the plurality of types of determination items is in a specific state, the determination items that are in a specific state in the second determination result Re-execute processing to improve pronunciation,
The learning support apparatus according to [2].

[4]
The controller is
A vocabulary equivalent to the first English example sentence stored in the storage unit of the learning support device when the first English example sentence is the first determination target and the determination item for reading aloud is in the specific state Specify a second English example sentence that includes a number and is different from the first English example sentence;
Using the designated second English example sentence, executing a process for improving the pronunciation for the reading time;
The learning support apparatus according to [3].

[5]
The controller is
When the first English example sentence is the first determination target and the determination item for the reading time is in the specific state, the first English example sentence includes the same number of vocabulary as the first English example sentence. Using different second English example sentences as second determination targets, sound data corresponding to the second determination target is input, and the pronunciation is determined again for each of the plurality of types of determination items.
The learning support apparatus according to any one of [2] to [4].

[6]
The controller is
Improve pronunciation of vowels or consonants of English words out of the functions stored in the storage unit of the learning support device when the judgment item about the degree of katakana English or the strength of consonants is in the specific state Using the function for making the said katakana English level, or processing for improving the pronunciation for the strength of the consonant,
The learning support device according to any one of [1] to [5].

[7]
The controller is
When the determination item for smoothness or smoothness is in the specific state, among the functions stored in the storage unit of the learning support device, using a function for improving pronunciation of the conversation example sentence, Execute processing for improving the pronunciation for sharpness or smoothness;
[1] The learning support device according to any one of [6].

[8]
The controller is
When any of the determination results is in a specific state, any type of determination item that has reached the specific state can be distinguished from any type of determination item that has not been in the specific state. To output by the output unit,
The learning support apparatus according to any one of [1] to [7].

[9]
By the control unit of the electronic equipment,
Input sound data of pronunciation corresponding to the first determination target, determine the pronunciation for each of a plurality of types of determination items,
When any one of the first determination results for each of the plurality of types of determination items is in a specific state, a process for improving the pronunciation of the determination items that are in the specific state in the first determination result Execute,
Learning support method.

[10]
The electronic computer,
Input sound data of pronunciation corresponding to the first determination target, determine the pronunciation for each of a plurality of types of determination items,
When any one of the first determination results for each of the plurality of types of determination items is in a specific state, a process for improving the pronunciation of the determination items that are in the specific state in the first determination result Execute,
A computer-readable learning support program for functioning as a means.

10 ... Learning support device 11 ... CPU
DESCRIPTION OF SYMBOLS 12 ... Memory | storage part 12a ... Learning support processing program 12b ... Learning content data 12b1 ... Learning content data ((A) pronunciation determination application: English example sentence)
12b2 ... Learning content data ((B) pronunciation determination app: English words)
12b3 ... Learning content data ((C) English conversation app: conversation example)
12c ... Sound generation determination result data 12d ... Display data 15 ... Communication unit 16 ... Key input unit 17 ... Display unit with touch panel 18 ... Audio input unit 19 ... Audio output unit 20 ... Web server N ... Communication network (Internet etc.)
G1… pronunciation determination initial screen G6… determination result screen G7… reading time practice screen G10… English word list screen (vowel / consonant)
G12 ... Conversational example output screen B61 ... [Re-challenge] icon

Claims (10)

Input sound data of pronunciation corresponding to the first determination target, determine the pronunciation for each of a plurality of types of determination items,
When any one of the first determination results for each of the plurality of types of determination items is in a specific state, a process for improving the pronunciation of the determination items that are in the specific state in the first determination result Execute,
A learning support apparatus including a control unit. The controller is
After executing the process for improving the pronunciation of the determination item that is in a specific state in the first determination result, the pronunciation corresponding to the second determination target that is the same as or different from the first determination target The sound data is input, and the pronunciation is determined again for each of the plurality of types of determination items.
The learning support apparatus according to claim 1. The controller is
As a result of performing the determination again, if any of the second determination results for each of the plurality of types of determination items is in a specific state, the determination items that are in a specific state in the second determination result Re-execute processing to improve pronunciation,
The learning support apparatus according to claim 2. The controller is
A vocabulary equivalent to the first English example sentence stored in the storage unit of the learning support device when the first English example sentence is the first determination target and the determination item for reading aloud is in the specific state Specify a second English example sentence that includes a number and is different from the first English example sentence;
Using the designated second English example sentence, executing a process for improving the pronunciation for the reading time;
The learning support device according to claim 3. The controller is
When the first English example sentence is the first determination target and the determination item for the reading time is in the specific state, the first English example sentence includes the same number of vocabulary as the first English example sentence. Using different second English example sentences as second determination targets, sound data corresponding to the second determination target is input, and the pronunciation is determined again for each of the plurality of types of determination items.
The learning support apparatus according to any one of claims 2 to 4. The controller is
Improve pronunciation of vowels or consonants of English words out of the functions stored in the storage unit of the learning support device when the judgment item about the degree of katakana English or the strength of consonants is in the specific state Using a function for making the said katakana English level, or processing for improving the pronunciation for the strength of consonants,
The learning support apparatus according to any one of claims 1 to 5. The controller is
When the determination item for smoothness or smoothness is in the specific state, among the functions stored in the storage unit of the learning support device, using a function for improving pronunciation of the conversation example sentence, Execute processing for improving the pronunciation for sharpness or smoothness;
The learning support apparatus according to any one of claims 1 to 6. The controller is
When any of the determination results is in a specific state, any type of determination item that has reached the specific state can be distinguished from any type of determination item that has not been in the specific state. To output by the output unit,
The learning support apparatus according to any one of claims 1 to 7. By the control unit of the electronic equipment,
Input sound data of pronunciation corresponding to the first determination target, determine the pronunciation for each of a plurality of types of determination items,
When any one of the first determination results for each of the plurality of types of determination items is in a specific state, a process for improving the pronunciation of the determination items that are in the specific state in the first determination result Execute,
Learning support method. The electronic computer,
Input sound data of pronunciation corresponding to the first determination target, determine the pronunciation for each of a plurality of types of determination items,
When any one of the first determination results for each of the plurality of types of determination items is in a specific state, a process for improving the pronunciation of the determination items that are in the specific state in the first determination result Execute,
A computer-readable learning support program for functioning as a means.